Applying search theory to determine the feasibility of eradicating invasive populations
| dc.creator | Cacho, Oscar J. | |
| dc.creator | Hester, Susan | |
| dc.creator | Spring, Daniel | |
| dc.date | 2017-04-01T19:20:51Z | |
| dc.date.accessioned | 2026-07-09T08:10:30Z | |
| dc.description | The detectability of invasive organisms influences the feasibility of eradicating an infestation. Search theory offers a framework for defining and measuring detectability, taking account of searcher ability, biological factors and the search environment. In this paper, search theory concepts are incorporated into a population model and the costs of search and control are calculated as functions of the amount of search effort (the decision variable). Simulations are performed on a set of four weed scenarios in a natural environment, involving different combinations of plant longevity, seed longevity and plant fecundity. Results provide information for the design of efficient search strategies. | |
| dc.identifier | doi:10.22004/ag.econ.174092 | |
| dc.identifier | https://ageconsearch.umn.edu/record/174092/files/2006_cacho.pdf | |
| dc.identifier | http://ageconsearch.umn.edu/record/174092 | |
| dc.identifier.uri | http://hdl.handle.net/123456789/596291 | |
| dc.language | eng | |
| dc.publisher | ||
| dc.source | http://ageconsearch.umn.edu/record/174092 | |
| dc.title | Applying search theory to determine the feasibility of eradicating invasive populations | |
| dc.type | Text |